Github user manishamde commented on a diff in the pull request:
https://github.com/apache/spark/pull/475#discussion_r12109202
--- Diff: docs/mllib-classification-regression.md ---
@@ -294,12 +294,9 @@ The recursive tree construction is stopped at a node
when one of the two conditi
1. The node depth is equal to the `maxDepth` training paramemter
2. No split candidate leads to an information gain at the node.
-### Practical Limitations
-
-The tree implementation stores an Array[Double] of size *O(#features \*
#splits \* 2^maxDepth)* in memory for aggregating histograms over partitions.
The current implementation might not scale to very deep trees since the memory
requirement grows exponentially with tree depth.
-
-Please drop us a line if you encounter any issues. We are planning to
solve this problem in the near future and real-world examples will be great.
+### Implementation Details
--- End diff --
Thanks.
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